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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 30 Dec 2013 07:21:44 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/30/t13884061594oc9xig84tnex6w.htm/, Retrieved Fri, 29 Mar 2024 12:43:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232670, Retrieved Fri, 29 Mar 2024 12:43:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2013-12-30 12:21:44] [1177af5e7ddeef06deae586abecaeb9d] [Current]
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Dataseries X:
15.13
15.25
15.33
15.36
15.40
15.40
15.41
15.47
15.54
15.55
15.59
15.65
15.75
15.86
15.89
15.94
15.93
15.95
15.99
15.99
16.06
16.08
16.07
16.11
16.15
16.18
16.30
16.42
16.49
16.50
16.58
16.64
16.66
16.81
16.91
16.92
16.95
17.11
17.16
17.16
17.27
17.34
17.39
17.43
17.45
17.50
17.56
17.65
17.62
17.70
17.72
17.71
17.74
17.75
17.78
17.80
17.86
17.88
17.89
17.94
17.98
18.10
18.14
18.19
18.23
18.24
18.27
18.30
18.34
18.36
18.36
18.40
18.43
18.47
18.56
18.58
18.61
18.61
18.69
18.74
18.75
18.81
18.85
18.88




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232670&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232670&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232670&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[15,15.5[15.2580.0952380.0952380.190476
[15.5,16[15.75120.1428570.2380950.285714
[16,16.5[16.2590.1071430.3452380.214286
[16.5,17[16.7580.0952380.4404760.190476
[17,17.5[17.2580.0952380.5357140.190476
[17.5,18[17.75160.1904760.726190.380952
[18,18.5[18.25130.1547620.8809520.309524
[18.5,19]18.75100.11904810.238095

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[15,15.5[ & 15.25 & 8 & 0.095238 & 0.095238 & 0.190476 \tabularnewline
[15.5,16[ & 15.75 & 12 & 0.142857 & 0.238095 & 0.285714 \tabularnewline
[16,16.5[ & 16.25 & 9 & 0.107143 & 0.345238 & 0.214286 \tabularnewline
[16.5,17[ & 16.75 & 8 & 0.095238 & 0.440476 & 0.190476 \tabularnewline
[17,17.5[ & 17.25 & 8 & 0.095238 & 0.535714 & 0.190476 \tabularnewline
[17.5,18[ & 17.75 & 16 & 0.190476 & 0.72619 & 0.380952 \tabularnewline
[18,18.5[ & 18.25 & 13 & 0.154762 & 0.880952 & 0.309524 \tabularnewline
[18.5,19] & 18.75 & 10 & 0.119048 & 1 & 0.238095 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232670&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][15,15.5[[/C][C]15.25[/C][C]8[/C][C]0.095238[/C][C]0.095238[/C][C]0.190476[/C][/ROW]
[ROW][C][15.5,16[[/C][C]15.75[/C][C]12[/C][C]0.142857[/C][C]0.238095[/C][C]0.285714[/C][/ROW]
[ROW][C][16,16.5[[/C][C]16.25[/C][C]9[/C][C]0.107143[/C][C]0.345238[/C][C]0.214286[/C][/ROW]
[ROW][C][16.5,17[[/C][C]16.75[/C][C]8[/C][C]0.095238[/C][C]0.440476[/C][C]0.190476[/C][/ROW]
[ROW][C][17,17.5[[/C][C]17.25[/C][C]8[/C][C]0.095238[/C][C]0.535714[/C][C]0.190476[/C][/ROW]
[ROW][C][17.5,18[[/C][C]17.75[/C][C]16[/C][C]0.190476[/C][C]0.72619[/C][C]0.380952[/C][/ROW]
[ROW][C][18,18.5[[/C][C]18.25[/C][C]13[/C][C]0.154762[/C][C]0.880952[/C][C]0.309524[/C][/ROW]
[ROW][C][18.5,19][/C][C]18.75[/C][C]10[/C][C]0.119048[/C][C]1[/C][C]0.238095[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232670&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232670&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[15,15.5[15.2580.0952380.0952380.190476
[15.5,16[15.75120.1428570.2380950.285714
[16,16.5[16.2590.1071430.3452380.214286
[16.5,17[16.7580.0952380.4404760.190476
[17,17.5[17.2580.0952380.5357140.190476
[17.5,18[17.75160.1904760.726190.380952
[18,18.5[18.25130.1547620.8809520.309524
[18.5,19]18.75100.11904810.238095



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}